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Enablistar
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AI Engineer

AI Engineer

Enablistar

2 - 4 years

8 - 11 Lacs

Mumbai

Posted:1 day ago| Platform:

Apply

Skills Required

Automation Backend Image processing Machine learning Agile JSON Open source JIRA Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled and innovative

AI Engineer

with 2+ years of experience in building and deploying AI/ML-powe'red solutions. The ideal candidate should have hands-on experience working with machine learning models, natural language processing, and large language models (LLMs). You will play a key role in developing intelligent systems and automation capabilities that solve real-world business problems.

Key Responsibilities

Design, develop, and deploy AI/ML-based applications using Python and modern AI frameworks.
Build and integrate large language models (LLMs) such as OpenAI, Anthropic, Ollama, etc
Work on NLP tasks such as text classification, named entity recognition, embeddings, and summarization.
Implement and optimize ML pipelines for training, fine-tuning, and inference.
Collaborate with product managers, data scientists, and backend teams to deliver production-ready AI features.
Integrate AI models with APIs, databases, and tools (eg, vector databases, retrieval systems).
Ensure AI solutions are scalable, efficient, and reliable for production environments.
Write clean, modular, and we'll-documented code.
Stay up-to-date with advancements in AI and apply them in practical use cases.

Required Skills and Qualifications

Experience Education

Experience
: Minimum 2 years of experience in AI/ML solution development.
Education
: bachelors or masters degree in Computer Science, Data Science, AI, or a related field.

Mandatory Technical Skills

Strong programming skills in
Python
.
Experience with
machine learning frameworks
(eg, Scikit-learn, XGBoost).
Hands-on with
deep learning libraries
(eg, TensorFlow, PyTorch).
Proficiency in working with
LLMs
(OpenAI, Hugging Face Transformers, LangChain, LlamaIndex).
Knowledge of
NLP techniques
and
text embeddings
.
Experience in
REST APIs
,
JSON-based data pipelines
, and
webhooks
.
Familiarity with
vector databases
(eg, FAISS, Pinecone, Weaviate).
Good understanding of
data preprocessing
, model evaluation, and pipeline automation.

Good to Have Skills

Exposure to
voice AI (STT/TTS)
,
image processing
, or
computer vision
.
Experience with
MLOps
,
Docker
, and
CI/CD pipelines
.
Knowledge of
cloud platforms
like
AWS
,
Azure
, or
GCP
.
Familiarity with
LangChain
,
RAG pipelines
, and
prompt engineering
.
Experience with
event-driven systems
(Kafka, Pub/Sub).
Understanding of
DevOps tools
,
Git
,
JIRA
, and
agile methodologies
.

Preferred Qualifications

Experience working with AI agents or autonomous workflows.
Knowledge of
retrieval-augmented generation (RAG)
and hybrid search systems.
Ability to build AI-powe'red APIs or tools for internal use or customer-facing platforms.
Contributions to open-source AI projects or published GitHub portfolio.

Soft Skills

Strong problem-solving and analytical thinking.
Ability to work independently and within cross-functional teams.
Excellent communication and documentation skills.
Passion for continuous learning in AI/ML technologies

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AI Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

AI Engineer

Key Responsibilities

Required Skills and Qualifications

Experience Education

Experience

Education

Mandatory Technical Skills

Python

machine learning frameworks

deep learning libraries

LLMs

NLP techniques

text embeddings

REST APIs

JSON-based data pipelines

webhooks

vector databases

data preprocessing

Good to Have Skills

voice AI (STT/TTS)

image processing

computer vision

MLOps

Docker

CI/CD pipelines

cloud platforms

AWS

Azure

GCP

LangChain

RAG pipelines

prompt engineering

event-driven systems

DevOps tools

Git

JIRA

agile methodologies

Preferred Qualifications

retrieval-augmented generation (RAG)

Soft Skills

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